Structural abnormality detection method based on consistent data replacement under incomplete data
A technology of data replacement and abnormality detection, applied in the testing of machine/structural components, electrical digital data processing, testing of mechanical components, etc. Effect
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[0047] The present invention will be described in detail below with reference to the accompanying drawings.
[0048] The invention provides a structural anomaly detection method based on a consistent data replacement method under incomplete data, which is characterized in that a plurality of sensors are used to collect structural responses first, and some of the sensors fail to obtain a response signal containing incomplete data ; Then denoise all the collected signals; then complete the incomplete data using the consistent data replacement method; finally use wavelet decomposition to realize structural anomaly detection on the completed data.
[0049] The denoising processing of the signal comprises the following steps:
[0050] ① Select the wavelet function to decompose the noisy signal by wavelet;
[0051] ② Process the decomposed wavelet coefficients by threshold threshold method;
[0052] ③ Perform wavelet reconstruction on the processed wavelet coefficients;
[0053] ...
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